Articles | Volume 6, issue 2
https://doi.org/10.5194/gchron-6-199-2024
https://doi.org/10.5194/gchron-6-199-2024
Research article
 | 
10 Jun 2024
Research article |  | 10 Jun 2024

The Geometric Correction Method for zircon (U–Th) ∕ He chronology: correcting systematic error and assigning uncertainties to alpha-ejection corrections and eU concentrations

Spencer D. Zeigler, Morgan Baker, James R. Metcalf, and Rebecca M. Flowers

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-3046', Florian Hofmann, 06 Feb 2024
    • AC1: 'Reply on RC1', Spencer Zeigler, 21 Mar 2024
  • RC2: 'Comment on egusphere-2023-3046', Anonymous Referee #2, 12 Feb 2024
    • AC3: 'Reply on RC2', Spencer Zeigler, 21 Mar 2024
  • RC3: 'Comment on egusphere-2023-3046', William Guenthner, 28 Feb 2024
    • AC2: 'Reply on RC3', Spencer Zeigler, 21 Mar 2024
    • AC4: 'Reply on RC3', Spencer Zeigler, 05 Apr 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (further review by editor) (26 Mar 2024) by Marissa Tremblay
AR by Spencer Zeigler on behalf of the Authors (05 Apr 2024)  Author's response   Manuscript 
EF by Sarah Buchmann (09 Apr 2024)  Author's tracked changes 
ED: Publish as is (11 Apr 2024) by Marissa Tremblay
ED: Publish as is (12 Apr 2024) by Tibor J. Dunai (Editor)
AR by Spencer Zeigler on behalf of the Authors (18 Apr 2024)  Manuscript 
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Short summary
(U–Th)/He chronology relies on accurate measurements of zircon grain dimensions, but the systematic error and uncertainty associated with those measurements have been unquantified until now. We build on the work of Zeigler et al. (2023) and present the zircon Geometric Correction Method, a simple solution to correcting the error and quantifying the geometric uncertainty in eU and dates. Including this geometric correction and uncertainty matters for data evaluation and interpretation.